BackgroundPrevious studies have suggested that children with oral clefts may have higher caries prevalence in comparison with non-cleft controls but the relative importance of the potential risk factors is not clear. The aim of this study was to compare the caries risk profiles in a group of cleft lip and/or palate (CL(P)) children with non-cleft controls in the same age using a computerized caries risk assessment model.MethodsThe study group consisted of 133 children with CL(P) (77 subjects aged 5 years and 56 aged 10 years) and 297 non-cleft controls (133 aged 5 years and 164 aged 10 years). A questionnaire was used to collect data concerning the child’s oral hygiene routines, dietary habits and fluoride exposure. Oral hygiene was assessed using Quigley-Hein plaque Index and the caries prevalence and frequency was scored according to the International Caries Detection and Assessment System. Whole saliva samples were analyzed for mutans streptococci, lactobacilli, buffering capacity and secretion rate. The risk factors and risk profiles were compared between the groups with aid of Cariogram and the estimated risk for future caries was categorized as “high” or “low”.ResultsChildren with CL(P) (the entire study group) had significantly higher counts of salivary lactobacilli (p < 0.05) and displayed less good oral hygiene (p < 0.05). More 10-year-old children in the CL(P) group had low secretion rate but this difference was not significant. The average chance to avoid caries ranged from 59 to 67 % but there were no significant differences between the groups. The odds of being categorized with high caries risk in the CL(P) group was significantly elevated (OR = 1.89; 95 % CI = 1.25–2.86). In both groups, children in the high risk category had a higher caries experience than those with low risk.ConclusionChildren with CL(P) displayed increased odds of being categorized at high caries risk with impaired oral hygiene and elevated salivary lactobacilli counts as most influential factors. The results suggest that a caries risk assessment model should be applied in the routine CL(P) care as a basis for the clinical decision-making and implementation of primary and secondary caries prevention.
Preschool children with cleft lip and/or palate seem to have more caries in the primary dentition than age-matched non-cleft controls. Enamel defects were more common in CL(P) children in both age groups.
The profile of the salivary microflora in 5-year-old children with and without oral clefts was basically similar and displayed only marginal differences with respect to commensal bacteria.
Both 5- and 10-year-old Swedish children with CL/P had HRQoL in the normal reference interval. Their general life situations were well adjusted to their clefts, but the older children with CL/P felt more excluded and less supported by peers.
Background
Considering the reports of increasing sleep problems in children, affecting health and well-being in young children and their families, we found it important to gain more knowledge about sleep and its correlation to health-related quality of life (HRQoL) in young, healthy children. The aims with this study were to describe sleep quality, sleep duration, and HRQoL in healthy 3–10-year-old children and to test associations between children’s sleep and HRQoL.
Methods
Parents of 160 children (average age: 6.9 years, SD ±2.2) participated in the study. Sleep onset problems (SOP), sleep maintenance problems (SMP), and sleep duration were measured by the Pediatric Insomnia Severity Index (PISI). KIDSCREEN-27 was used to measure HRQoL in five dimensions: physical well-being, psychological well-being, autonomy and parent relation, social support and peers, and school environment.
Results
The average score was 2.2 for SOP (SD +/− 2.2) and 1.3 for SMP (SD +/− 1.6). Few children (2%) were reported to sleep less than 8 h per night. Younger children had statistically significant higher SOP and SMP than older children. Correlations were found between SOP and poor psychological well-being (p < 0.05, ρ = − 0.16), and between SMP and poor physical wellbeing (p < 0.05, ρ = − 0.16), psychological well-being (p < 0.05, ρ = − 0.21), poor school environment (p < 0.01, ρ = − 0.29), autonomy and parent relation (p < 0.05, ρ = − 0.16), and poor social support and peers (p < 0.05, ρ = − 0.19).
Conclusion
Children’s sleep associates with health-related quality of life and needs to be acknowledged in child health care settings and schools.
Background: To increase health and well-being in young children, it is important to acknowledge and promote the child's sleep behaviour. However, there is a lack of brief, validated sleep screening instruments for children. The aims of the study were to (1) present a Swedish translation of the PISI, (2) examine the factor structure of the Swedish version of PISI, and test the reliability and validity of the PISI factor structure in a sample of healthy children in Sweden. Methods: The English version of the PISI was translated into Swedish, translated back into English, and agreed upon before use. Parents of healthy 3-to 10-year-old children filled out the Swedish version of the PISI and the generic health-related quality of life instrument KIDSCREEN-27 two times. Exploratory and confirmatory factor analyses for baseline and test-retest, structural equation modelling, and correlations between the PISI and KIDSCREEN-27 were performed. Results: In total, 160 parents filled out baseline questionnaires (test), whereof 100 parents (63%) filled out the follow-up questionnaires (retest). Confirmative factor analysis of the PISI found two correlated factors: sleep onset problems (SOP) and sleep maintenance problems (SMP). The PISI had substantial construct and test-retest reliability. The PISI factors were related to all KIDSCREEN-27 dimensions. Conclusions: The Swedish version of the PISI is applicable for screening sleep problems and is a useful aid in dialogues with families about sleep.
Impaired orofacial function seen in children with CL/P can be one of many risk factors for caries development, and it is suggested to be a part of caries risk assessment.
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